Job Details

Language-Enabled Research Scientist

Battelle's Cyber Solutions Division (CSD) is seeking an experienced mid-level Language-Enabled Research Scientist to work in our Beavercreek, OH (client site) or Columbus, OH offices.

The position reports to the Division Manager of Cyber Solutions. The Cyber Solutions Division is responsible for ideating, developing, and deploying advanced technical solutions to solve the most challenging national security problems.

From Silicon to Systems - We are an elite, multi-disciplinary team, bringing together the brightest minds from physics, computer science, electrical engineering, and mathematics to develop unique embedded security solutions for government and industrial customers.

Battelle has been trusted by elite government clients to solve some of the world's hardest security problems. We work in small agile teams to push the bounds of computing technology. Our high-powered labs include specialized software and hardware, so our engineers have everything they need to invent new Cyber solutions.

We encourage new ideas with our large Internal Research and Development (IRAD) program where engineers work on projects they are passionate about. Inventors and innovators are rewarded by our industry-leading IP compensation program. Our group works collaboratively with many parts of Battelle's larger organization on projects ranging from genomics to robotics.

Responsibilities

As a Language-Enabled Research Scientist, you will collaborate with other linguists, data scientists, engineers, and technical subject matter experts to collect, translate, and analyze science and technology (S&T) information. You will be responsible for foreign language translation and analysis of Advanced S&T data involving complex and esoteric materials.

• Language translation and science and technology assessments.
• Collecting, organizing, and analyzing foreign language information from multiple sources to author reports and quick-turn tasks.
• Technical proficiency applying foreign language to AS&T mission areas.
• Using data science tools, where appropriate.
• Support on client sites
• Working in a multi-disciplinary environment while working independently and leading tasks on time and on budget.
• Providing thorough and completed products that require minor revisions and/or editing.
• Proactively managing expectations and meeting deadlines in a fast-moving, agile environment.
• Maintaining excellent communication and interaction with both co-located and geographically diverse team members.

Key Qualifications

• Level II in Defense Language Proficiency Test (DLPT) or equivalent American Council on the Teaching of Foreign Languages (ACTFL) level for the following languages: Arabic, Chinese, French, Korean, Persian Farsi, Russian, Spanish. Experience may be substituted for DLPT or ACTFL level with verification of language proficiency.
• Experience with collecting, assembling, interpreting, translating, and analyzing open-source data, such as scientific publications, social media, and databases, and synthesizing knowledge into actionable intelligence.
• Experience with assessing and technical reporting on technologies and scientific topics, (i.e., technology readiness levels (TRL) and critical technology elements (CTE), etc.).
• Experience with diverse media and advanced S&T data.
• BS and (2) years of relevant experience; MS and (1) years of relevant experience; PhD in relevant field or an equivalent combination of education/experience in a relevant field.
• Excitement about learning new technical subject areas and curiosity about S&T missions.
• Experience in national security, defense, and/or intelligence communities.
• Must be a US citizen with an active DOD Top Secret/SCI.
• Open to travel up to 25%

Preferred Qualifications

• Master's Degree in the above areas in political science, data science, foreign language, international relations, or similar.
• Five years of experience as a linguist, technical expert, intelligence analyst, or equivalent to fulfill the job requirements.
• Expertise in data science and/or in manipulating and analyzing large/diverse data (e.g., exploratory analysis, model fitting, and visualization).
• Experience creating, interfacing with, or optimizing databases (e.g., SQL, PostgreSQL, NoSQL).
• Strong course work or experience demonstrating algorithmic programming and data visualization skills.
• Programming experience (e.g., Python, R).
• Experience applying supervised and unsupervised machine learning techniques against real world problems.
• Willing to obtain polygraph if required for program need